Machine Learning | 05 | Probabilistic models: Learning Logistic regression, Log loss / Cross-Entropy
Machine Learning | 05 | Probabilistic approaches to Machine Learning Logistic regression, Log loss / Cross-Entropy In this lecture, probabilistic approaches to Machine Learning are discussed. We start by reviewing the basics of probability theory, and then discuss some approaches to probabilistic classification, including the (naive) Bayes classifier and logistic regression, which is a combination of a linear model, a sigmoid function, and a log loss. By Vrije Universiteit Amsterdam Slides: https://bit.ly/3cNDpDG Course Materials: https://bit.ly/39GeXlt Check the playlist of this course https://bit.ly/2QUjRVo Check the other courses https://bit.ly/3r76iOP Follow us on Facebook https://bit.ly/3u077uW Also on Instagram https://bit.ly/3c6TtA5 Also you can check our website https://bit.ly/3stQasd ---------- What is log loss function? What is a good log loss score? What is log loss in logistic regression? What is log loss and how it helps to improve performance? What is loss in machine learning? Is Log loss the same as cross entropy? What is loss value in deep learning? What is the cross entropy loss function? Can log loss have negative values? Why cross entropy loss is better than MSE? Can cross entropy loss be greater than 1? What is categorical Crossentropy? What is logistic regression used for? What is the difference between logistic and linear regression? How do you explain logistic regression? What is the formula for logistic regression? Why is logistic regression better? Which method gives the best fit for logistic regression model? What does B mean in logistic regression? How does a logistic regression model work? What is logistic regression in ML? When should you use logistic regression? What is the best explanation of logistic? What are the types of logistic regression? What is logistic regression cost function? How do you measure logistic regression performance? Why logistic regression is better than linear? Should I use linear or logistic regression? Why is logistic regression linear? How do you explain logistic regression to a child? Why is it called logistic regression? What do the coefficients in logistic regression mean? #machinelearning #ai #aus #bias #variance #gradiant_descent #python #deeplearning #technology #programming #coding #bigdata #computerscience #data #dataanalytics #tech #datascientist #iot #pythonprogramming #programmer #ml #developer #software #robotics #java #innovation #coder #javascript #datavisualization #analytics #neuralnetworks #bhfyp
